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review Patent bibiliometrics The idea of using bibliometrics methods for analyzing patent information could be dated back to 1940s, when Arthur H. Seidel proposed a citation index of the patent literatures in the Journal of the
Introduction It is well known that the cumulative number of various items (for example, articles, journals and authors) in a database or citations of the publication output of an author initially increases rapidly with time
Literature Austin , J. M. , ‘The Law of Citations and Seriatim Opinions: Were the Ancient Romans and the Early Supreme Court on the Right Track?’ ( 2010 ) 31
References Aksnes , D. W. 2003 A macro-study of self-citations Scientometrics 56 2 235 – 246
Introduction The innovation literature considers forward citations to be a good proxy of patent quality and, more precisely, market value and technological importance. The former tends to focus on the market value of the firm
Preface Ten years ago we published an assay describing the storage and citation manners utilized in the sphere of scientific literature [ 1 ] noting if the aim of science is pursuit of truth, then the pursuit of information
Introduction Citation analysis as a mature quantitative research method in bibliometrics and scientometrics has been applied to many disciplines at home and abroad, especially in describing evolution of disciplines, evaluating
of author self-citations as opposed to journal self-citations (Hartley 2009 ). Such author self-citations contribute to the overall citation count of an article and to the impact factor of the journals in which they are cited (Anseel et al
Abstract
Not all highly cited papers have the same citation life cycle curves, i.e. curves of frequency of citations received vs. time. The citation life of ten randomly selected Citation Classics, five in medicine and five in biochemistry, are studied longitudinally in time and compared with a random sample of ten non-classics of the same cohort. There are pronounced differences in the life cycle curves; two distinct types are suggested. Type A, comprised of both high and low cited papers in both fields, has an early peak of citation rate and may be approximated by a bilinear cumulative citation curve with a break at six years of age, when three quarters of the total number of citations have occurred. Type B, in this study comprised of extremely highly cited methodological Citation Classics, exhibit a constant or slowly accelerating growth rate with a vigorous citation life extending over the entire period studied and typically one third or less of the total citations accumulated at six years of age.
(Aksnes 2003 ). New research is only successfully incorporated into our collective knowledge if other scientists read and more importantly cite the journal articles. The importance of citation rates of individual papers has been recognized since the early
